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Cloud Academy Research Shows Preferences in Cloud; Emergence of Multi-Cloud

Inaugural Data Report from Cloud Roster and Cloud Catalog Data Reveals Trends for 2019

Cloud Academy, the leading digital skills development platform for enterprises, released its November 2018 Data Report revealing trends and shifts in the cloud computing industry. The data is collected from Cloud Academy’s publicly available benchmarking tools Cloud Roster and Cloud Catalog. Among the report’s key findings:

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Inaugural data report from @cloudacademy reveals trends for 2019

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  • The world is trending multi-cloud: Multi-cloud has become reality and Cloud Academy’s analysis of job postings reveals that DevOps engineers are now expected to have concurrent proficiency in Amazon Web Services (AWS) and Microsoft Azure, with 70 percent of job postings mentioning Azure also mentioning AWS.
  • Google places a distant third in the public cloud supremacy battle: Job postings mentioning Google Cloud Platform (GCP) are significantly fewer, with only 7 percent that mention AWS also mentioning Google Cloud. For now, any organization that says they are multi-cloud is firmly invested in AWS and Azure.
  • Companies aren’t bought into GCP for data engineering: Industry analysts often suggest that GCP is the best-fit for data engineering, but Cloud Academy data shows differently. GCP didn’t even crack the top 20 data engineering skills mentioned in job postings, while AWS and Azure did.
  • Kubernetes may be driving multi-cloud adoption: Cloud Academy’s data discovered that as the number of public cloud platforms mentioned in job postings increased from three months ago, so did the mention of Kubernetes, suggesting that a multi-cloud strategy necessitates adoption of containerization.

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For additional insights, visit the November data report and check back monthly for new reports. Industry analysts, cloud practitioners, and organizational executives are encouraged to share their interpretations of these findings with Cloud Academy directly or through Twitter.

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